A novel colour image encryption algorithm using S-box technique
Why this work is in the frame
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Bibliographic record
Abstract
The combined 3D image suggests that SHA-256 is responsible for seeding the memristive chaotic system with initial values. The suggested picture encryption method uses the encrypted image's output value to set the algorithm's parameters. Second, either discrete Arnold map or indeed the quantum chaotic maps are used to construct the structure of permutations and grey-level encryption, respectively. A classical chaos sequence modifies the pixel value before it is permuted using the Arnold transform. We use the S-box to introduce nonlinearity and diffusion to image files, and then we use the Boolean function XOR to the encrypted picture to provide even more randomness. Additionally, we examine randomness tests such as NIST-R, correlation, and key evaluation. The efficiency of the proposed method is evaluated in relation to many similar existing algorithms. Both theoretical and practical studies support the reliability of our methodology.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it